Multilingual Large Language Models (MLLMs) have achieved remarkable success in advancing multilingual natural language processing, enabling effective knowledge transfer from high-resource to low-resource languages. Despite their achievements, MLLMs still face numerous issues and challenges, which can be categorized into three main aspects: corpora, alignment, and bias.

The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in protein design.

Network security has always been the focus of Internet research. In order to better detect these attacks, it is necessary to more accurately evaluate the state performance of the network. The existing measurement methods often only focus on a single or very few indicators.

Researchers from Tianjin University have introduced the Emergency Medical Procedures 3D Dataset (EMP3D), a pioneering resource that captures the intricate movements of medical professionals during life-saving interventions with unprecedented precision. Published on 15 November 2025 in Frontiers of Computer Science co-published by Higher Education Press and Springer Nature, this dataset leverages synchronized multi-camera systems, advanced AI algorithms, and rigorous human validation to create the first 3D digital blueprint of emergency medical workflows. The innovation holds the potential to fundamentally transform emergency medical training and enhance robotic support in healthcare settings.

Existing swirling combustion technology, which relies on faulty coal, is unable to meet deep peak shaving demands without auxiliary methods. This paper developed a deep peak regulation burner (DPRB) to achieve stable combustion at 15%–30% of the boiler’s rated load without auxiliary support. Gas-particle tests, industrial trials, and transient numerical simulations were conducted to evaluate the burner’s performance. At full rated load, the DPRB formed a central recirculation zone (RZ) with a length of 1.5d and a diameter of 0.58d (where d represents the outlet diameter). At 40%, 20%, and 15% rated loads, the RZ became annular, with diameters of 0.30d, 0.40d, and 0.39d, respectively, with a length of 1.0d. At 20% and 15% rated loads, the recirculation peak and the range of particle volume flux were comparable to those at 40% rated load. The prototype burner demonstrated that, without oil support, the gas temperature within 0 to 1.8 m from the primary air outlet remained below 609 °C, insufficient to ignite faulty coal. As the load rate increased from 20% to 30%, the prototype’s central region temperature remained low, with a maximum of 750 °C between 0 and 2.0 m. In contrast, the DPRB’s central region temperature reached 750 °C at around 0.65–0.70 m. At a 3%·min−1 load-up rate, when the load increased from 20% to 30%, the prototype burner extinguished after 30 s. However, the DPRB maintained stable combustion throughout the process.

Multimorbidity is defined as the concurrent presence of two or more age-associated diseases within an individual, which often results in detrimental health outcomes. Immunosenescence, the gradual deterioration of the immune system associated with aging, constitutes a significant risk factor for the development of these conditions. Moreover, certain diseases may exacerbate immunosenescence, thereby establishing a self-perpetuating pathological cycle. This bidirectional interaction forms a complex pathological network that presents considerable challenges for both the investigation and prevention of multimorbidity. In light of these challenges, it is pertinent to consider whether a paradigm shift in research and intervention strategies—centered on protective factors or anti-aging mechanisms—could facilitate substantial advancements in this field. On October 13, 2025, a research team led by Associate Researcher Xiaolin Ni and Researcher Erping Long from the Institute of Basic Medical Sciences at the Chinese Academy of Medical Sciences published an article entitled "Centenarians: a model of immune resilience against multimorbidity" in the journal Life Medicine. By examining the mechanistic interplay between immunosenescence and multimorbidity and referencing the unique immune profiles of centenarians, the authors proposed a novel systemic therapeutic paradigm termed IMET. This approach focuses on the modulation and restoration of the immune microenvironment, thereby offering innovative research directions and intervention strategies aimed at mitigating the burden of aging-related multimorbidity.

Researchers from The University of Osaka have developed a unique approach to delivering laser light through photonic circuitry for controlling the states of trapped ions, representing a potential novel method for overcoming challenges in quantum computing technology.